Joel Therrien
fdc708dad5
Add support for making predictions without specifying training data Add support for adding trees to an existing forest Add support for toggling displayProgress Also reduced the size of the package by removing some unused dependency classes.
36 lines
1.1 KiB
R
36 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/addTrees.R
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\name{addTrees}
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\alias{addTrees}
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\title{Add Trees}
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\usage{
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addTrees(forest, numTreesToAdd, savePath = NULL,
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savePath.overwrite = c("warn", "delete", "merge"),
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cores = getCores(), displayProgress = TRUE)
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}
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\arguments{
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\item{forest}{An existing forest.}
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\item{numTreesToAdd}{The number of trees to add.}
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\item{savePath}{If saving the forest, the directory to save to. Default is
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\code{NULL}. Note that you need to respecify the path if you're modifying a
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previously saved forest.}
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\item{savePath.overwrite}{If \code{savePath} is pointing to an existing
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directory, possibly containing another forest, this specifies what should
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be done.}
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\item{cores}{The number of cores to be used for training the new trees.}
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\item{displayProgress}{A logical indicating whether the progress should be
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displayed to console; default is \code{TRUE}. Useful to set to FALSE in
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some automated situations.}
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}
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\value{
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A new forest with the original and additional trees.
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}
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\description{
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Add more trees to an existing forest. Most parameters are extracted from the
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previous forest.
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}
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